A | | C | D |
11 | | 211 | 211 |
12 | | 125 | 121 |
7 | | 179 | 185 |
12 | | 225 | 222 |
11 | | 161 | 157 |
15 | | 170 | 174 |
6 | | 191 | 184 |
16 | | 195 | 194 |
12 | | 135 | 133 |
13 | | 162 | 165 |
9 | | | |
14 | | | |
11 | | | |
10 | | | |
8 | | | |
15 | | | |
14 | | | |
13 | | | |
9 | | | |
6 | | | |
8 | | | |
12 | | | |
14 | | | |
16 | | | |
11 | | | |
- The mean of the distribution of potato sack weights is 80 lbswith a standard deviation of 4 lbs. Assume that the distributionapproximates a Bell curve.
- Use the z-table calculator and find the weight which is the70th percentile. Use value from an are (Show a screen shot for youranswer.)
- What is the z-score for a weight of 75 lbs? z-score =(x-µ)/σ
- Suppose you pick a single sack at random. What is theprobability that the weight will be between 85 and 100 lbs? Usearea from a value. (Show a screen shot for your answer.)
Use the central limit theorem to thefollowing questions.
- Suppose you pick a group of 9 sacks instea What would be thestandard deviation of the sample’s (group’s) average using thecentral limit theorem? (i.e. σxbar = σ/)
- What is the probability that a group of 9 sacks will have anaverage weight between 90 and 100 lbs? Use the z-table calculatorwith “area from a valueâ€. (Show a screen shot for youranswer.)
- Use Column A.
We want to test to see whether thedata taken from 25 test experiments is consistent with the meanequal to 10.3 (µ = 10.3), or is more consistent with the meangreater than 10.3 (µ > 10.3).
Use Summary 5b, Table 2, Column 1.
- What is the null hypothesis Ho for our test?
- What is the alternative hypothesis Ha?
- What type of tail test will we use? (left tail, right tail, ortwo tails)?
- What is the mean of the sample xbar?
- What is the standard deviation of the sample s?
- What is the size of the sample n?
- We going to use a t-statistic. Explain why we are not going touse a z-statistic.
- Calculate the t-statistic using xbar, µ, n, and s.
- How many degrees of freedom does this data set have?
- Use the t-distribution calculator to compute a p-value. Includea screen shot of your answer.
- We want a 99% confidence level. Based on your value of p,should we accept or reject the null hypothesis?
- What if we want a 95% confidence level? Based on your value ofp, should we accept or reject the null hypothesis?
- Use Columns C and D for this question.
You are measuring weight loss usingthe same set of people at different times C and D. You want to knowwhether there is any difference in the weight between the start ofthe diet and the end of the diet. Column C gives the weight at thebeginning of diet time. Column D gives the weight for the SAMEperson at the end of the diet time. Since there is data for thesame person at different times, we will test whether µ(C-D) <= 0or µ(C-D) > 0 (meaning the diet did cause weight loss) since wehave correlated data (matched pairs).
Use Summary 5b, Table 2, Column 1
- Make a new series of data samples by letting E = C – D. Listyour new series of 10 numbers.
- What is the null hypothesis H0 ?
- What is the alternative hypothesis Ha ?
- What type of tail test are we going to use? (left tail, righttail, two tail)
- What is the mean xbar of this new sample?
- What is the standard deviation of the sample s?
- What is the size of the sample n?
- How many degrees of freedom does this data set have?
- What is the t-statistic for this sample?
- Use the t-distribution calculator to compute a p-value. Show ascreen shot of your answer.
- Based on this value of p and using a 90% confidence level, isthere a systematic difference in the weight changes between thestart and stop time of the diet? Should we accept or reject thenull hypothesis?